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1
Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Thesis -
2
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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3
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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4
Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Article -
5
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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6
Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah
Published 1997“…Optimal Layout is the layout of the arrangment of CMOS transistor with the implementation of a random logic functional on an array of CMOS transistor. …”
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7
Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
Published 2008“…As a new result it is in fact shown that the algorithm iteratively solves a Model Predictive Control related cost function. …”
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Student Project -
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The Implementation of Genetic Algorithm in Path Optimization
Published 2005“…In this project, TSP will be used to model and easy visualize the path optimization problem and Genetic Algorithm (GA) was chosen to be implemented in resolving the problem. …”
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Final Year Project -
10
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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11
Design of a flexible digital baseband signal processing algorithm
Published 2006“…In this paper, we show how we solved the problem by satisfying several requirements simultaneously: 1) removing loop or complicated algorithm in DBSP functions with flexible DBSP algorithm 2) using DSP-BIOS Scheduling module to increase performance and make sure our sample data are in packed. …”
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Conference or Workshop Item -
12
Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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13
Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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14
Solving large-scale problems using multi-swarm particle swarm approach
Published 2018“…The proposed algorithm was tested on several test functions, with four different number of dimensions (100, 500, and 1000) it was evaluated in terms of performance efficiency and compared to standard PSO (SPSO), and mastersalve PSO algorithm. …”
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Article -
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Adaptable algorithms for performance optimization of dynamic batch manufacturing processes
Published 2018“…The dynamic changes causing the need of dynamic modelling for a better dynamic optimization will be catered via a specifically formulated fitness function. With nowadays high end computation ability, revolutionary changes of implementing precision measurement is expectable and applicable to obtain expensive products. …”
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16
Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan
Published 2020“…In the nut shell, a discussion on how the system should responding to the limitations such as implementing collaborative filtering algorithm and adding some features in order to enhance the efficiency of the system is also mentioned.…”
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17
Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
Published 2000“…The conventional filter design technique is adapted in writing a MATLAB program using the Signal Processing Toolbox. GA is then implemented using the Genetic Algorithm Toolbox (GAOT). …”
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18
Comparing alternative methods for improving the bisection techniques: modified bracketing method and Regula Falsi Algorithm / Nurul Ain Syafika Juperi, Nur Yasmin Hanani Mahdiber a...
Published 2023“…Then, some selected test functions are applied into the Bisection Method, Modified Bracketing Method and Regula Falsi Algorithm to decide which is the most practical method. …”
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Student Project -
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Design and implementation of an optimal fuzzy logic controller using egentic algorithm
Published 2011“…The results justify the effectiveness of the approach implemented in this study and they lUnher prove toot the optimized Fuzzy Logic Controller is functioning better than the conventional PID Controller…”
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Book Chapter -
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Automated Maze Robot
Published 2011“…The findings in this project are the maze that is being used, the linear maze; the robot that is being used, the Pololu 3pi Robot; the algorithm that has been chosen to be implemented, the Wall Following Algorithm; the implementation of the project, how the robot operates; the tests that had been ran, the Fault Injection Test, the NonFunctional Test and the Integration Test; and the test results, the success rate and the failure rate. …”
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Final Year Project
